TY - GEN
T1 - An OWA ased multi-criteria system for assigning papers to reviewers
AU - Nguyen, Jennifer
AU - Sanchez-Hernandez, Germán
AU - Agell, Núria
AU - Rovira, Xari
AU - Angulo, Cecilio
N1 - Publisher Copyright:
© 2016 The authors and IOS Press. All rights reserved.
PY - 2016
Y1 - 2016
N2 - Assigning papers to reviewers is a large, long and difficult task for conference chairs and scientific committees. The reviewer assignment problem is a multi-agent problem which requires understanding reviewer expertise and paper topics for the matching process. This paper proposes to elaborate on variables used to compute reviewer expertise and aggregate multiple factors to find the fittest combination of reviewers to each paper. Expertise information is gathered implicitly from publicly available information and a reviewer profile is generated automatically. An OWA (Ordered Weighted Average) aggregation function is used to summarize information coming from different sources and rank the candidate reviewers for each paper. General constraints for the RAP (Reviewer Assignment Problem) have been incorporated into a real case example: (i) conflicts of interest between the reviewer and authors should be avoided, (ii) each paper must have a minimum number of reviewers, and (iii) each reviewer load cannot exceed a certain number of papers.
AB - Assigning papers to reviewers is a large, long and difficult task for conference chairs and scientific committees. The reviewer assignment problem is a multi-agent problem which requires understanding reviewer expertise and paper topics for the matching process. This paper proposes to elaborate on variables used to compute reviewer expertise and aggregate multiple factors to find the fittest combination of reviewers to each paper. Expertise information is gathered implicitly from publicly available information and a reviewer profile is generated automatically. An OWA (Ordered Weighted Average) aggregation function is used to summarize information coming from different sources and rank the candidate reviewers for each paper. General constraints for the RAP (Reviewer Assignment Problem) have been incorporated into a real case example: (i) conflicts of interest between the reviewer and authors should be avoided, (ii) each paper must have a minimum number of reviewers, and (iii) each reviewer load cannot exceed a certain number of papers.
KW - Conference reviewer assignment
KW - Expertise
KW - OWA
KW - Recommender system
UR - http://www.scopus.com/inward/record.url?scp=84988464677&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-696-5-253
DO - 10.3233/978-1-61499-696-5-253
M3 - Conference contribution
AN - SCOPUS:84988464677
T3 - Frontiers in Artificial Intelligence and Applications
SP - 253
EP - 262
BT - Artificial Intelligence Research and Development - Proceedings of the 19th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2016
A2 - Binefa, Xavier
A2 - Nebot, Angela
A2 - de Mantaras, Ramon Lopez
PB - IOS Press
T2 - 19th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2016
Y2 - 19 October 2016 through 21 October 2016
ER -